Extreme Learning Machine (ELM for short) was originally developed based on single hidden-layer feed forward neural networks (SLFNs) [1]}. Compared with the conventional learning machines, it is of extremely fast learning capacity and good generalization capability. Thus, ELM, with its variants [2]}, [3]}, has been widely applied in many fields [4]}, [5]}. The results indicate that ELM produces comparable or better classification accuracies with reduced training time and implementation complexity compared to artificial neural networks methods and support vector machine methods.
